SPREADSHEETS FOR MARKETING &
SALES TRACKING - DATA ANALYSIS
TOOLS USING MS EXCEL
By: Peter K. Mulwa
Objectives
By the end of the session, participants should be
able to:
Ms Excel for Data Analysis
• Ms Excel provides powerful tools that for data
analysis which include:
a) Sort: Help to arrange data in either ascending or
descending order. You can sort your data on one column or multiple columns
b) Filter: This is a tool used to display records that
meet a certain criteria
c) Conditional Formatting: Conditional formatting
Ms Excel for Data Analysis
d) Charts: Enables one to present data in graphical
form
e) Pivot Tables: A pivot table allows one to extract the
significance from a large, detailed data set. It enables one to view data in summarized form which enable one to draws a meaning from the data
f) Tables: Tables allow one to analyze data quickly and
Ms Excel for Data Analysis
g) What-If Analysis: What-If Analysis in allows one to
try out different values (scenarios) for formulas and predict the possible outcomes based on different scenarios
h) Solver: This tool uses techniques from the
operations research to find optimal solutions for all kind of decision problems
i) Analysis ToolPak: The Analysis ToolPak is an Excel
Sort
• Steps:i. With an open worksheet, click inside the data that you want to sort
ii. Click on data tab
Sort
Filter
• One can do simple filter or advanced filter • Steps for simple filter:
i. Click inside the data you want to filter ii. Click on the data table
iii. Click on filter under sort & filter group
iv. Click on the drop arrow next to the field you want to filter by
v. Select the field to filter by vi. Click Ok
NB: Click on filter under sort & filter group again to clear
Filter
Steps for Advanced filter:
i. Set the criteria range in two cells on adjacent rows using a field name and the condition
ii. Click inside the worksheet iii. Click on data tab
Filter
v. Select the list range and the criteria range
vi. You can copy the filtered data in another location within the same sheet or a different sheet by choosing the copy to another location option on the dialog box
PivotTables
Steps:
i. Click on insert tab
ii. Click on pivot tables from the ribbon
PivotTables
PivotTables
• In our sample data, to get the total amount exported for each product, drag the following fields to the different areas;
1. Product Field to the Row Labels area 2. Amount Field to the Values area
3. Country Field to the Report Filter area
PivotTables
PivotChart
• Steps for inserting PivotChart i. Click on the PivotTable
ii. Click on PivotTable tools
iii. Under options, click on PivotChart
iv. From the insert chart dialog box, select the type of the chart to use e.g. 3-D Clustered Column
v. Click Ok
NB 1: Under PivotChart tools, you can change chart layout
options as you want e.g. chart title, chart axis titles, etc
NB 2: The chart display changes as you change the filter
WHAT-IF ANALYSIS
• What-If Analysis in allows one to try out
different values (scenarios) for formulas and
predict the possible outcomes based on
different scenarios
• Steps
i. Click on your worksheet ii. Click on data tab
iii. Click on What-if Analysis on the data ribbon
WHAT-IF ANALYSIS
Using the Scenario Manager
• Click on Scenario Manager from
What-if-Analysis drop down list
WHAT-IF ANALYSIS
v. Click on add to add a Scenario vi. Type scenario name
vii. Choose the changing cells e.g. Quantity viii. Enter new values for the changing cells ix. Click ok
WHAT-IF ANALYSIS
• Using the Goal Seek
i. Select the cell containing the formula that will return the result you’re seeking; in this example, cell G5
ii. On the Data tab, choose What-If Analysis→Goal Seek in the Data Tools group
WHAT-IF ANALYSIS
iii. Select the To Value text box and enter the goal
iv. Select the By Changing Cell text box and select the cell that you want to change
v. Click OK